Web Data Mining with Python : (Record no. 11575)

MARC details
000 -LEADER
fixed length control field 01651nam a22002897i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250819150044.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250807b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355513632
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 005.7
Item number r.r.w.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rajnish, Ranjana,
Relator term author.
9 (RLIN) 63098
245 10 - TITLE STATEMENT
Title Web Data Mining with Python :
Remainder of title Discover and Extract Information from the Web using Python /
Statement of responsibility, etc. Ranjana Rajnish & Meenakshi Srivastava.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
300 ## - PHYSICAL DESCRIPTION
Extent 304 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.<br/>
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Web Mining—An Introduction; Web Mining Taxonomy; Prominent Applications with Web Mining; Python Fundamentals; Web Scraping; Web Opinion Mining; Web Structure Mining; Social Network Analysis in Python; Web Usage Mining.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. A comprehensive guide for aspiring data scientists and programmers on extracting, analyzing, and interpreting web data using Python. The book covers web scraping, opinion mining, graph mining, sentiment analysis with hands‑on examples using open‑source libraries. Ideal for technical learners aiming to apply data mining in real‑world scenarios. ([turn0search0]turn0search8]turn0search14)<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Web mining.
9 (RLIN) 61773
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data science education.
9 (RLIN) 61774
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Srivastava, Meenakshi,
Relator term author.
9 (RLIN) 61775
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library B3 08/19/2025   005.7 r.r.w MA0002259 08/19/2025 C.1 08/19/2025 Books